Manish Nagdewani

Leading active migration of monolithic Rails application to microservices architecture, designing service boundaries, defining inter-service contracts, and coordinating phased rollout across engineering teams. Architected and authored technical design documents, schema designs, and user stories for new features; translated specs into JIRA tickets with detailed acceptance criteria, enabling structured sprint execution. Engineered new product features and resolved critical production issues within Ruby on Rails stack integrated with Salesforce API and Tooljet, improving workflow automation and system reliability. Managed deployments across GCP and Heroku Pipelines, configuring staging and production environments to support zero-downtime releases and scalable infrastructure. Owned production support rotations, triaging and resolving live incidents to ensure platform stability and minimal disruption to enrollment workflows. Built an AI-powered internal skill using Cursor that automatically detects bugs reported in Slack, creates structured JIRA tickets, generates fixes, and raises pull requests directly reducing engineering tech debt with minimal manual intervention.

Owned and scaled a calculation framework integrating ML models, vendor data, and a web crawler to generate ESG company ratings; improved processing accuracy and reduced calculation cycle time through query performance optimizations on Oracle and PySpark ETL pipelines. Architected and delivered new microservices APIs using JRuby and Sinatra, decoupling core calculation logic and enabling independent deployment across Azure AKS clusters. Led a team of 3 engineers, defining sprint workloads, conducting design reviews, and coordinating cross-team dependencies with SRE, DevOps, and data engineering teams. Identified and remediated critical security vulnerabilities across application services, reducing exposure risk and ensuring compliance with enterprise security standards. Built and maintained ETL pipelines using PySpark and Azure Databricks, processing large-scale ESG input data from vendors, filing documents, and AGM sources with improved data accuracy. Coordinated cross-team delivery of features spanning Azure Service Bus messaging, Azure Datalake storage, and Oracle-backed calculation services.

Owned the Invoice, Merchandise, and Sales & Order modules of a comprehensive jewelry retail platform enabling multi-payment-method financial tracking, inventory management across item categories, and creation of sales, return, and custom repair orders. Designed and executed ETL pipelines using Ruby scripting to transform raw client data into system-compatible formats, reducing onboarding time for new clients. Migrated production servers and upgraded Ruby on Rails to the latest version, improving application security, performance, and compatibility with modern gems. Provisioned and deployed a full production-equivalent AWS environment for a new client within one week, enabling accelerated go-live. Delegated tasks to junior engineers, conducted code reviews, managed Git merges, and delivered training sessions to upskill team members on best practices.

Contributed to microservices architecture setup for IvyChat (student-advisor platform): containerized 9 services, designed schemas, implemented Stripe payment processing, and integrated Twilio for real-time voice/video/chat deployed on Azure. Integrated IBM Watson chatbot APIs into BoxSpring LMS platform, enabling intelligent HR-employee communication; configured FFMPEG + Video.js for in-app video processing and deployed to Heroku. Built multi-tenant architecture for Leaseze (property management platform) with separate Landlord, Tenant, and Vendor portals communicating via REST APIs; configured DigitalOcean server infrastructure and integrated SynapsePay/Dwolla payment systems. Consistently led requirement analysis, task decomposition, effort estimation, and client communication across all projects, translating business needs into actionable engineering deliverables.

Developed PDF export functionality for Piqosity (edtech exam-prep platform), supporting configurable formatting for quizzes and assessments; integrated interactive Drawing Board library for student engagement. Configured automated backup utilities on Google Cloud, ensuring data integrity and disaster recovery readiness for the platform. Set up staging and production deployment environments, managing all server operations and release processes to ensure platform stability.